锅炉技术2026，Vol.57Issue(4)：14-21,8.
面向燃煤机组深度调峰的辐射能信号在线监测及运行优化研究进展
Research Progress of On-Line Monitoring of Radiant Energy Signals and Operation Optimization for Deep Peak Shaving of Coal-Fired Units
摘要
Abstract
In the new power system planning,the deep peak shaving capability of coal-fired power plants needs to be enhanced to address the challenge of integrating renewable energies.The radiant energy signal exhibits a similar trend of variation to the unit's power output and boiler thermal efficiency,which is based as a key parameter in deep peak shaving.Therefore,the research progress on online monitoring of radiant energy signals and operation optimization for deep peak shaving of coal-fired units are summarized.First,the methods for acquiring in-furnace radiant energy signals are introduced.These signals are obtained by detecting flame radiation using sensors and by processing flame image gray-scale values or through spectral analysis.Furthermore,using the in-furnace radiant energy signal as a control parameter enables more precise control of the combustion process.Research results indicate that combustion control strategies incorporating radiant energy signals can overcome the time-delay and lag issues in thermal power boilers,effectively improve control performance,reduce steam pressure fluctuations,and enhance combustion efficiency.In the future development of new power systems,further research and wider application of radiant energy signals will contribute to more efficient and cleaner operation of coal-fired units in terms of peak shaving and environmental protection.关键词
燃煤发电机组/辐射能信号/在线监测/燃烧控制/运行优化Key words
coal-fired power unit/radiant energy signal/on-line monitoring/combustion control/operation optimization分类
能源科技引用本文复制引用
李路江,唐广通,闫慧博,汪潮洋,马辉..面向燃煤机组深度调峰的辐射能信号在线监测及运行优化研究进展[J].锅炉技术,2026,57(4):14-21,8.基金项目
国家电网有限公司科技项目资助(TSS2023-01) （TSS2023-01）
